Also take tx b43a7ac21e1b60ad748ec905d6e03cf3165e5d8c9e1c61c263d328118c42eaa6 as an example.
We calculate H( H(prefix) || H(base) || H(prunable) )
for TXID.
Actually, we can divide the transaction into 3 parts perfectly without removing any bit.
The first part prefix
should be
L = "020001020005c8e230afe12f958d49809d0dfaaf33595a612d0df27181c46a8af70a9bd682f2a000124b873ba5d2b9f4b4e4efd672020002aa9595f55f2cfaed3bd2a67453bb064dc7fd454a09c2418d7338782790185fe300020ccb48ed2ebbcaa8e8831111029f3300069cff0d1408acffbfc3810b362ea2174402210081464dc2f85d185e0f6be900e552aff37b3acc87ab6465c02abb9da8de62c06e0101b957162674517c5544242ce5eb2e9f8b72ead332291c5c1af9b8e4c5408b05"
which includes components from version
to extra
.
The second part base
should be
M = "018088e2ed6068f508c5515694ce5a33b316b990e8b67a944725c93d806767e61b2e0b13d300913372a2424b22bd9712183f5a7c8027c8d9af89b52d1e7d06fd1f87a1e5d20dfbc3e5bdb36fc58e5800ffc549ab7bd533fadb7e6b64898c82ea620d749fc80eb9335c3dc0afb774f812f9f58a412c849f3c828d873f1c16ab102963799d9809cf141f5dfe04df14afad6b451d600aa5826a9be44a76a1630850c1d5951d482ee10bb69b66af5dabec765c7f5f7528926088877fa36746833828a0575896ae57"
which includes all components of rct_signatures
, that is from type
to outPK
.
The last part prunable
is all the rest content.
R = "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dd323defb1af834e540a8fc0ef9b41a117a1415fec54f1cc16aeef859b2cab1494b9e26a95fc9eaf4f571fa00de7a7b30795cab310b632f708c6c2546847a5cbcc27ff48e75c1556c3f6f180c6218695558359d115e308b008d9aa368c38672732d2fc21c6317ad7d15918c050ca70bbdea0e391b1e24e2540f33b48dd9dc554c61ebf23bb3691aab5094e40fdafecd436b2448504c0a3a1997b356c141f1d4b5977cc66e5f55592f137315015059757cf06216215955aaa108e8dd40be157856749a9d883bcac611e395a409"
Hash them respectively.
L1 = MiniNero.cn_fast_hash(L)
M1 = MiniNero.cn_fast_hash(M)
R1 = MiniNero.cn_fast_hash(R)
The last step is to concatenate each result and hash again.
result = MiniNero.cn_fast_hash(L1+M1+R1)
The result is the same with TXID
b43a7ac21e1b60ad748ec905d6e03cf3165e5d8c9e1c61c263d328118c42eaa6